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The Analytics Engineering Podcast: The Iceberg ecosystem today (Anders Swanson)
Open standards are having a moment. Iceberg is at the center of it. Tristan Handy and Anders Swanson talk through what’s working and what still needs work. Listen to The Analytics Engineering Pod...
TF1 Group accélère sa transformation data grâce à dbt Labs
Dans cette interview exclusive, le Chief Data & AdTech Officer de TF1 partage les coulisses d’un ambitieux projet de transformation data lancé au sein du groupe média leader en France. 👉 Comment m...
Macif modernise sa plateforme data et accélère son time-to-market grâce à dbt Labs
Dans cette interview, Laurent Aucouturier, Head of Data Solutions & AI au sein du Data Office de la Macif, partage les coulisses d’une transformation stratégique : migration vers le cloud, refonte ...
How to become a dbt ambassador and speaker
Bruno Lima, a three-time dbt community award winner and speaker, reveals how stepping out of your comfort zone can open doors you never imagined—and why you shouldn't wait to feel 100% ready. Brun...
Breaking onto the stage at dbt Summit as a data team of one
Join dbt Labs host Bolaji and guest Opeyemi Fabiyi as they delve into the world of public speaking for data professionals. Opeyemi, an analytics manager at Data Culture in Lagos, Nigeria, and the...
Turn a dbt Summit talk into a career milestone
Most data professionals underestimate how powerful sharing their expertise can be—and that’s a mistake. Silja Märdla, an analytics engineer from Bolt in Estonia, reveals how speaking at dbt confere...
dbt Summit: An analytics engineer's path from data expertise to leadership influence
Pooja Gandhi Crahen, a Principal Analytics Engineer at Okta, shares how stepping onto the dbt stage transformed her professional life. You can do the same, even if you’re not a natural public speak...
Empower your data and AI career at dbt Summit
Most data professionals shy away from the stage—but what if speaking publicly could transform your career faster than you imagined? JB Brooks, Principal Data and AI Architect at Astrodata, reveal...
Why every data pro should speak at dbt Summit
Sundar Subramaniam, Lead Data Engineer at DocuSign, reveals how vulnerability, community support, and real-world stories can transform your conference experience from nerve-wracking to empowering. ...
dbt Summit: Why it's time for data pros to take the stage
Dakota Kelley, the director of data engineering at phData and an experienced conference presenter, reveals how stepping onto stage at dbt Summit can accelerate your career—even if you're nervous or...
The Iceberg ecosystem today (Anders Swanson)
The data industry is moving fast toward open standards, and Apache Iceberg is at the center of it. In this episode, Tristan Handy sits down with Anders Swanson (Developer Experience Advocate at dbt...
Operationalize analytics agents: dbt AI updates + Mammoth’s AE agent in action
Agentic workflows promise faster analytics, but many teams are finding that speed without governance leads to inconsistent results, broken trust, and more rework. When AI agents operate without sha...
How to automate dbt project migration with dbt Agent Skills + Claude Code Opus 4.6
Turn your coding agent into a dbt migration expert. Watch this automated migration flow run with dbt Agent Skills + Claude Code Opus 4.6 One prompt ports a dbt project to Snowflake → compiles it →...
Maximize the business value of your data platform with dbt
Even the best data teams can get buried in maintenance—chasing pipeline errors, tuning jobs, or managing platform costs. Meanwhile the real goal gets lost: driving measurable business value. This ...
dbt Summit: Where data gets done
"Community is the biggest draw that brings me here." Hear from data professionals at Whoop, EMC Insurance, EQT, Dexcom, Expel, and Bilt Rewards on why dbt Summit is the can't-miss event for the an...
Close the context gap: Cribl’s blueprint for trusted AI with dbt + Omni
Everyone wants AI-driven analytics, but few trust the answers. The problem isn't the AI model; it’s the Context Gap between your data warehouse and the end user. This gap is a disconnect between wh...
2026 ins & outs (data edition)
In this episode of The View on Data, Faith, Ric, and Jerrie discuss their intentions for the new year, focusing on what is in and out in the data world. They emphasize the importance of simplificat...
Power reliable Cortex and Snowflake Intelligence experiences with dbt and Snowflake Semantic Views
This video walks through an end-to-end workflow for powering reliable Cortex and Snowflake Intelligence experiences with dbt and Snowflake Semantic Views: It highlights a workflow of: - Finding AI...
How the dbt MCP Server connects AI agents to governed data
"dbt MCP is a way to provide structured and governed context to your AI agents. It allows local and remote access to all the things within dbt that can govern and guide AI to provide great answers ...
Expert tips from a dbt Resident Architect: Audit your dbt project
"Resident architects do a little bit of everything. They answer questions about your dbt projects, help you scale, help you migrate to dbt—basically anything that helps you better understand how yo...
Save money and operational energy: State-aware orchestration in the dbt Fusion engine
"State-aware orchestration is a paradigm shift that changes what it means to build in dbt. Traditionally, a job builds everything that's selected. With state-aware orchestration, we only build the ...
Inside the dbt Fusion engine: A full rewrite in Rust to unlock value for data teams
"The dbt Fusion engine is a full rewrite of dbt Core in Rust. It's a milestone for dbt because it sets a new foundation for us to build all future products. This unlocks an enormous potential." — E...
29%+ warehouse savings: How the dbt Fusion engine drives more cost-effective data ops
Data teams waste hundreds of hours every year refreshing models that haven’t changed. This is a significant time and trust drain on practitioners, and it can unnecessarily drive data platform costs...
"I can't wait to cash in those dollars": The real cost savings of the dbt Fusion engine
"The cost savings with the dbt Fusion engine is going to be very important because coming from a financial services background, making sure that things are cost effective is always important." — Au...
The business case for dbt: 60% faster, 50% cheaper, infinitely more reliable
"It's really just treating data like electricity to the point where it just works and our stakeholders and us can focus on using that data to drive business value." — Nick Heron, Senior Manager of ...
The next step for trusted analytics with dbt Agents and the dbt MCP server
"It's really exciting to see an agent write a model, build it, write a test, see that it fails a test, reiterate on the model, and then use the dbt MCP server to run it again to make sure it passes...
How Sage used dbt Canvas to migrate complex projects without SQL experts
"Our team is not going to have the SQL skillset necessary to move directly onto dbt. dbt Canvas bridges that gap. It's a visual tool that allowed us to focus on the solution and not on how do we co...
Why Sage's BI team loves dbt Canvas
"One of the strengths of dbt Canvas is that it is an open-ended tool. A lot of times in other vendor platforms, we're kind of restricted on what we can develop and deliver. With dbt Canvas, it real...
Why data teams are excited about the dbt Fusion engine
"Fusion helps us catch errors before hitting the warehouse." Hear from analytics engineers at WMC Health, Bilt Rewards, Whoop, Sweetgreen, Docusign, and Expel on why dbt Fusion is transforming thei...
Why data engineers say dbt is essential for data teams
"Without dbt, the analytical development lifecycle would be at least 10 times slower." Hear from data engineers at Dexcom, Zscaler, and Whoop on why dbt has become the essential tool for developer ...
How dbt transformed the developer experience from the "Wild West" to order for development workflows
"dbt is like the operating system for data." Hear from engineering leaders at Docusign, Bilt, Daiichi Sankyo, and SWBC on how dbt revolutionized their developer experience and brought order to thei...
Why AI needs dbt for conversational analytics
"BI never became self-service, but AI is." Hear from data leaders at EMC Insurance, SWBC, and Zscaler on why dbt is the foundation for trustworthy conversational analytics. In this video, you'll d...
How EQT optimized warehouse costs by 50% and cut runtime 60% with the dbt Fusion engine
Ron Yoon, data platform product manager from EQT, shares how their team achieved dramatic cost savings and performance improvements by migrating to the dbt Fusion engine. In this video, you'll hea...
Apache Iceberg and the catalog layer (w/ Russell Spitzer)
Tristan Handy talks with Russell Spitzer, a PMC member of Apache Iceberg and principal engineer at Snowflake, about the evolution of open table formats and the catalog layer. They dig into identity...
Delivering reliable AI with the dbt Semantic Layer and dbt MCP Server
As teams race to adopt LLMs and agents, many discover the same challenge: AI systems can’t perform well without structured, governed, and consistent context. Critical knowledge—from metrics and def...
ADE-bench: The world’s first comprehensive benchmark for AI-driven analytics and data engineering
So … you’ve probably heard a lot about AI over the last few years. What can it do? What can’t it do? To answer this question, you need to actually put it to the test. That’s why Benn Stancil creat...
The power of community in data (The View on Data, Ep. 6)
Finding your people in data can change everything. Not just for your career, but for your confidence, your learning, and your sense of belonging in the work. In this episode of The View on Data, J...
AI and the data lake (w/ Lauren Anderson)
Tristan talks with Lauren Anderson, Senior Director for Okta’s Enterprise Data Platform. Lauren shares how identity sits at the center of two seismic shifts in data—AI agents and the open data lake...
dbt MCP Server Fusion tool: Column-level lineage for AI agents
Column changes are one of the fastest ways to break things. The new dbt MCP Server Fusion tool helps your AI assistants and agents avoid that. It exposes dbt Fusion’s column-level lineage as a cal...
Using the dbt MCP Server Admin tool to automate dbt jobs with AI
Want AI assistants and agents to run your dbt Platform jobs and debug failed runs for you? Good news, you can. The dbt MCP Server Admin tool exposes jobs, runs, and artifacts as structured tools ...
Inside Snowflake’s AI roadmap (w/ Chris Child)
Snowflake VP of Product Management Chris Child joins Tristan Handy to unpack Snowflake's AI roadmap and what it means for data teams. They discuss the evolution from Snowpark to Cortex and Snowflak...
Compilation strategies in dbt
In this Fusion Fundamentals episode, Sara breaks down one of the biggest shifts introduced by the dbt Fusion engine: how compilation actually works. Fusion is a true SQL compiler that introduces a...
Build a CI agent with dbt structured context and MCP
In this demo, see how we built a CI Agent that uses dbt’s structured context layer to diagnose an issue, fix the model, and open a PR. End-to-end and fully automated. You’ll see how an agent resol...
dbt Community Awards 2025
Bolaji Oyejide, senior community manager at dbt Labs, hosts the 2025 dbt Community Awards at Coalesce 2025. Join the dbt Community: https://www.getdbt.com/community/join-the-community
Inside the dbt Fusion engine compiler
🧠 How does the dbt Fusion engine actually understand your SQL? In our latest Fusion Fundamentals video, we unpack what happens under the hood when Fusion compiles your dbt project. The key differ...
Speed, simplicity, cost savings: Experience the dbt Fusion engine
As analytics projects grow, so do the challenges: fragile pipelines, rising compute costs, and slow, error-prone development cycles. For Sonja Strempel, Analytics Engineer at DPG Media, the dbt Fu...
Building a multimodal lakehouse for AI (w/ Chang She)
In this episode of the Analytics Engineering Podcast, Tristan Handy sits down with Chang She — a co-creator of Pandas and now CEO of LanceDB — to explore the convergence of analytics and AI enginee...
What is SQL Comprehension?
Most SQL tools can render SQL, but they don’t really understand it. The dbt Fusion engine introduces SQL comprehension, a way for dbt to interpret SQL structure, semantics, and execution behavior ...
Exposing the dbt manifest through LLMs to make data discoverable (Coalesce 2025)
Using dbt metadata and LLMs, we built a system that helps users find and understand data assets beyond traditional search. Our solution creates a rich catalog focusing on business problems each mod...
Benn Stancil introduces a scorecard for measuring which robots work well with dbt (Coalesce 2025)
We built a new benchmark to test how well LLMs and AI products perform when trying to complete dozens of different analytics and data engineering tasks. This session will outline how the benchmark ...